Beyond Mediation and Modification: A Deeper Look at Cause and Effect - Saniya
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The rest of this book is organized as follows. Chapter 2 covers the literature review of the Neyman-Rubin's counterfactual framework of causal inference, general assumptions for causal studies, Pearl's graphical causal modeling, causal mediation analysis, and causal modification analysis. The section of causal mediation study describes motivations for empirically assessing mediation, traditional mediation analysis, counterfactual mediation analysis, assumptions for identifying the direct and indirect effects, Pearl's causal mediation formula, and regression-based approaches for mediation…mehr

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Produktbeschreibung
The rest of this book is organized as follows. Chapter 2 covers the literature review of the Neyman-Rubin's counterfactual framework of causal inference, general assumptions for causal studies, Pearl's graphical causal modeling, causal mediation analysis, and causal modification analysis. The section of causal mediation study describes motivations for empirically assessing mediation, traditional mediation analysis, counterfactual mediation analysis, assumptions for identifying the direct and indirect effects, Pearl's causal mediation formula, and regression-based approaches for mediation study. The section on causal modification study describes motivations for assessing causal effect heterogeneity, definitions and notations for modification, relations between modifier and mediator, assumptions for identifying conditional average treatment effect, and stratification analysis and other machine learning approaches for causal modification study.
Autorenporträt
Dr. Saniya is a visionary computer scientist at the forefront of concurrent programming. Their distinguished career has been dedicated to developing elegant solutions for the complex challenges of building reliable and efficient systems that harness the power of multiple processors. Dr. Saniya's particular focus lies in the holy grail of concurrency: achieving guaranteed memory safety without sacrificing performance. "The Future of Concurrency: Zero-Cost Abstractions for Guaranteed Memory Safety" represents the culmination of Dr. Saniya's years spent researching and pioneering the concept of zero-cost abstractions. Dr. Saniya meticulously explores innovative techniques that empower programmers to write concurrent systems without the burden of manual memory management or the performance overhead of traditional synchronization mechanisms. Dr. Saniya's passion extends beyond theoretical advancements. They are a strong advocate for translating cutting-edge research into practical tools that benefit the software development community. Dr. Saniya actively collaborates with software engineers and compiler developers to integrate zero-cost abstractions into real-world programming languages and systems. Their writing is known for its clarity and depth, effectively bridging the gap between complex concurrency concepts and practical implementation details. In "The Future of Concurrency," Dr. Saniya embarks on an intellectually stimulating journey into the next chapter of concurrent programming. They delve into the theoretical foundations of zero-cost abstractions, showcase real-world applications of this groundbreaking approach, and explore the transformative impact it will have on the way we design, develop, and deploy high-performance concurrent systems. Dr. Saniya's insightful analysis equips readers to understand the future of concurrency and empowers them to leverage the full potential of multi-core architectures with confidence and efficiency.